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12 results on '"Delfour, Olivier"'

1. GEM-DeCan: Improved tumor immune microenvironment profiling through novel gene expression and DNA methylation signatures predicts immunotherapy response

Author

Xie, Ting, primary, Solórzano, Jacobo, additional, Madrid-Mencía, Miguel, additional, Essabbar, Abdelmounim, additional, Pernet, Julien, additional, Kuo, Mei-Shiue, additional, Hucteau, Alexis, additional, Coullomb, Alexis, additional, Verstraete, Nina, additional, Delfour, Olivier, additional, Cruzalegui, Francisco, additional, and Pancaldi, Vera, additional

Published
2021
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2. Abstract 3372: VISTA interaction with PSGL1, a likely VISTA receptor in tumors, is effectively disrupted by K0401-020 anti-VISTA antibody

Author

Cruzalegui, Francisco, primary, Loukili, Noureddine, additional, Delfour, Olivier, additional, Boute, Nicolas, additional, Thuilliez, Céline, additional, Champion, Thierry, additional, Malissard, Martine, additional, Launay, Pierre, additional, Chetaille, Eric, additional, Passioukov, Alexandre, additional, Corvaïa, Nathalie, additional, and Ferré, Pierre, additional

Published
2020
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5. Tumor Cells Hijack Macrophage-Produced Complement C1q to Promote Tumor Growth

Author

Roumenina, Lubka T., primary, Daugan, Marie V., additional, Noé, Rémi, additional, Petitprez, Florent, additional, Vano, Yann A., additional, Sanchez-Salas, Rafaël, additional, Becht, Etienne, additional, Meilleroux, Julie, additional, Clec'h, Bénédicte Le, additional, Giraldo, Nicolas A., additional, Merle, Nicolas S., additional, Sun, Cheng-Ming, additional, Verkarre, Virginie, additional, Validire, Pierre, additional, Selves, Janick, additional, Lacroix, Laetitia, additional, Delfour, Olivier, additional, Vandenberghe, Isabelle, additional, Thuilliez, Celine, additional, Keddani, Sonia, additional, Sakhi, Imene B., additional, Barret, Eric, additional, Ferré, Pierre, additional, Corvaïa, Nathalie, additional, Passioukov, Alexandre, additional, Chetaille, Eric, additional, Botto, Marina, additional, de Reynies, Aurélien, additional, Oudard, Stephane Marie, additional, Mejean, Arnaud, additional, Cathelineau, Xavier, additional, Sautès-Fridman, Catherine, additional, and Fridman, Wolf H., additional

Published
2019
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8. Numerous novel annotations of the human genome sequence supported by a 5'-end-enriched cDNA collections

Author

Porcel, Betina M., Delfour, Olivier, Castelli, Vanina, De Berardinis, Veronique, Friedlander, Lucie, Cruaud, Corinne, Ureta-Vidal, Abel, Scarpelli, Claude, Weissenbach, Jean, Salanoubat, Marcel, Gyapay, Gabor, Schachter, Vincent, and Wincker, Patrick

Subjects
Nucleotide sequence -- Research, Genetic research, Health
Abstract

A collection of 90000 human cDNA clones generated to increase the fraction of 'full-length' cDNAs was analyzed by sequence alignment on the human genome assembly, and five hundred fifty-two genes models were defined using this collection. Further, the cDNA model provided an experimental support for annotations based exclusively on predictions, thus representing a resource substantially improving the human genome annotation.

Published
2004

9. Genome-Wide Sequencing of Cellular microRNAs Identifies a Combinatorial Expression Signature Diagnostic of Sepsis

Author

Ma, Yuqian, Vilanova, David, Atalar, Kerem, Delfour, Olivier, Edgeworth, Jonathan, Ostermann, Marlies, Hernandez-Fuentes, Maria, Razafimahatratra, Sandrine, Michot, Bernard, Persing, David H., Ziegler, Ingrid, Toros, Bianca, Mölling, Paula, Olcen, Per, Beale, Richard, Lord, Graham M., Ma, Yuqian, Vilanova, David, Atalar, Kerem, Delfour, Olivier, Edgeworth, Jonathan, Ostermann, Marlies, Hernandez-Fuentes, Maria, Razafimahatratra, Sandrine, Michot, Bernard, Persing, David H., Ziegler, Ingrid, Toros, Bianca, Mölling, Paula, Olcen, Per, Beale, Richard, and Lord, Graham M.

Abstract

Rationale: Sepsis is a common cause of death in the intensive care unit with mortality up to 70% when accompanied by multiple organ dysfunction. Rapid diagnosis and the institution of appropriate antibiotic therapy and pressor support are therefore critical for survival. MicroRNAs are small non-coding RNAs that play an important role in the regulation of numerous cellular processes, including inflammation and immunity. Objectives: We hypothesized changes in expression of microRNAs during sepsis may be of diagnostic value in the intensive care unit (ICU). Methods: Massively parallel sequencing of microRNAs was utilised for screening microRNA candidates. Putative microRNAs were validated using quantitative real-time PCR (qRT-PCR). This study includes data from both a training cohort (UK) and an independent validation cohort (Sweden). A linear discriminant statistical model was employed to construct a diagnostic microRNA signature. Results: A panel of known and novel microRNAs were detectable in the blood of patients with sepsis. After qRT-PCR validation, microRNA miR-150 and miR-4772-5p-iso were able to discriminate between patients who have systemic inflammatory response syndrome and patients with sepsis. This finding was also validated in independent cohort with an average diagnostic accuracy of 86%. Fractionating the cellular components of blood reveals miR-4772-5p-iso is expressed differentially in monocytes. Functional experiments using primary human monocytes demonstrate that it expressed in response to TLR ligation. Conclusions: Taken together, these data provide a novel microRNA signature of sepsis that should allow rapid point-of-care diagnostic assessment of patients on ICU and also provide greater insight into the pathobiology of this severe disease.

Published
2013
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10. Genome-Wide Sequencing of Cellular microRNAs Identifies a Combinatorial Expression Signature Diagnostic of Sepsis

Author

Ma, Yuqian, primary, Vilanova, David, additional, Atalar, Kerem, additional, Delfour, Olivier, additional, Edgeworth, Jonathan, additional, Ostermann, Marlies, additional, Hernandez-Fuentes, Maria, additional, Razafimahatratra, Sandrine, additional, Michot, Bernard, additional, Persing, David H., additional, Ziegler, Ingrid, additional, Törös, Bianca, additional, Mölling, Paula, additional, Olcén, Per, additional, Beale, Richard, additional, and Lord, Graham M., additional

Published
2013
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11. Alternative Processing of the U2 Small Nuclear RNA Produces a 19–22nt Fragment with Relevance for the Detection of Non-Small Cell Lung Cancer in Human Serum

Author

Mazières, Julien, primary, Catherinne, Caroline, additional, Delfour, Olivier, additional, Gouin, Sandrine, additional, Rouquette, Isabelle, additional, Delisle, Marie-Bernadette, additional, Prévot, Grégoire, additional, Escamilla, Roger, additional, Didier, Alain, additional, Persing, David H., additional, Bates, Mike, additional, and Michot, Bernard, additional

Published
2013
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12. Transcriptomics profiling of the non-small cell lung cancer microenvironment across disease stages reveals dual immune cell-type behaviors.

Author

Hurtado M, Khajavi L, Essabbar A, Kammer M, Xie T, Coullomb A, Pradines A, Casanova A, Kruczynski A, Gouin S, Clermont E, Boutillet L, Senosain MF, Zou Y, Zhao S, Burq P, Mahfoudi A, Besse J, Launay P, Passioukov A, Chetaille E, Favre G, Maldonado F, Cruzalegui F, Delfour O, Mazières J, and Pancaldi V

Subjects
Humans, Gene Expression Regulation, Neoplastic, Neoplasm Staging, Adenocarcinoma of Lung genetics, Adenocarcinoma of Lung immunology, Adenocarcinoma of Lung mortality, Adenocarcinoma of Lung pathology, Female, Male, Computational Biology methods, Tumor Microenvironment immunology, Tumor Microenvironment genetics, Lung Neoplasms genetics, Lung Neoplasms immunology, Lung Neoplasms mortality, Lung Neoplasms pathology, Gene Expression Profiling, Carcinoma, Non-Small-Cell Lung genetics, Carcinoma, Non-Small-Cell Lung immunology, Carcinoma, Non-Small-Cell Lung mortality, Killer Cells, Natural immunology, Transcriptome
Abstract

Background: Lung cancer is the leading cause of cancer death worldwide, with poor survival despite recent therapeutic advances. A better understanding of the complexity of the tumor microenvironment is needed to improve patients' outcome., Methods: We applied a computational immunology approach (involving immune cell proportion estimation by deconvolution, transcription factor activity inference, pathways and immune scores estimations) in order to characterize bulk transcriptomics of 62 primary lung adenocarcinoma (LUAD) samples from patients across disease stages. Focusing specifically on early stage samples, we validated our findings using an independent LUAD cohort with 70 bulk RNAseq and 15 scRNAseq datasets and on TCGA datasets., Results: Through our methodology and feature integration pipeline, we identified groups of immune cells related to disease stage as well as potential immune response or evasion and survival. More specifically, we reported a duality in the behavior of immune cells, notably natural killer (NK) cells, which was shown to be associated with survival and could be relevant for immune response or evasion. These distinct NK cell populations were further characterized using scRNAseq data, showing potential differences in their cytotoxic activity., Conclusion: The dual profile of several immune cells, most notably T-cell populations, have been discussed in the context of diseases such as cancer. Here, we report the duality of NK cells which should be taken into account in conjunction with other immune cell populations and behaviors in predicting prognosis, immune response or evasion., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision., (Copyright © 2024 Hurtado, Khajavi, Essabbar, Kammer, Xie, Coullomb, Pradines, Casanova, Kruczynski, Gouin, Clermont, Boutillet, Senosain, Zou, Zhao, Burq, Mahfoudi, Besse, Launay, Passioukov, Chetaille, Favre, Maldonado, Cruzalegui, Delfour, Mazières and Pancaldi.)

Published
2024
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